Can I remove a participant from a live session through the agent?

Yes. The `remove_peer` tool allows your AI agent to disconnect any participant from an active session using their peer ID. You can also provide a custom reason for the removal, which will be logged in your session history.

How do I check if a video room is currently active?

Use the `list_sessions` tool and filter by the specific room ID and status 'active'. Your agent will return any ongoing sessions for that room along with the number of participants currently joined.

Can I see all cloud recordings for a specific room?

Absolutely. Use the `list_recordings` tool and provide the room ID. Your agent will retrieve all recordings associated with that room, showing their status and technical metadata for auditing purposes.

100ms MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: 100ms
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect 100ms through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "100ms": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using 100ms, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 100ms MCP Server

Connect your 100ms account to any AI agent and manage your live video infrastructure through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with 100ms through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Room Management — List all virtual rooms, retrieve deep technical metadata, and create new rooms with specific templates and descriptions
Session Monitoring — Monitor active or completed video sessions in real-time and retrieve session history across your organization
Participant Governance — List all peers (participants) currently in a session and retrieve their unique IDs and roles
Peer Control — Remotely remove or kick participants from active sessions with custom reasons directly from your agent
Recording Discovery — List and browse cloud recordings, filtered by room or status (completed, failed, or processing)
Operational Insights — Quickly find unique room, session, and peer IDs required for automated video workflows
Scalable Infrastructure — Verify your live video configurations and template settings through automated metadata retrieval

The 100ms MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect 100ms to LangChain via MCP

Follow these steps to integrate the 100ms MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from 100ms via MCP

Why Use LangChain with the 100ms MCP Server

LangChain provides unique advantages when paired with 100ms through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine 100ms MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across 100ms queries for multi-turn workflows

100ms + LangChain Use Cases

Practical scenarios where LangChain combined with the 100ms MCP Server delivers measurable value.

RAG with live data: combine 100ms tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query 100ms, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain 100ms tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every 100ms tool call, measure latency, and optimize your agent's performance

100ms MCP Tools for LangChain (9)

These 9 tools become available when you connect 100ms to LangChain via MCP:

create_room

Use this when the user asks to start or host a new meeting space. Create a new video room

get_room

Requires the unique room ID. Get the configuration and details of a specific video room

get_session

Get the details and metadata of a specific video session

list_peers

Requires the session ID. List all participants currently inside an active video session

list_recordings

Can optionally filter by room ID or the status of the recording. List cloud recordings of video rooms

list_rooms

Use this to find a room ID. List all video rooms in the 100ms account

list_sessions

You can filter by room ID or status. Use this to find who attended past meetings. List active or past video sessions

remove_peer

Requires the session ID and the peer ID. Kick or remove a specific participant from an active video session

update_room

Requires the room ID. Update the settings of an existing video room

Example Prompts for 100ms in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with 100ms immediately.

"List all my video rooms in 100ms."

"Are there any active sessions for the 'Town Hall' room right now?"

"Remove participant 'peer-123' from the session 'sess-abc' for 'violating community guidelines'."

Troubleshooting 100ms MCP Server with LangChain

Common issues when connecting 100ms to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

100ms + LangChain FAQ

Common questions about integrating 100ms MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.